000			01825nam a2200193 4500
999			_c408 _d408
005			20190911164805.0
008			190911b ||||| |||| 00| 0 eng d
020			_a9789352605248
082			_a005.133 _bACH
100			_aAcharya, Seema _91194
245			_aData analytics using R
260			_aNew Dellhi _bMcGraw Hill Education (India) Pvt. Ltd. _c2018
300			_aix, 555 p.
365			_aINR _b630.00
520			_ahis book is aimed at undergraduate students of computerscience and engineering. The book will be useful companion for IT professionalsto data analysts and decision makers responsible for driving strategicinitiatives, and management graduates and business analysts, engaged inself-study. This book by Acharya unleashes the power of R as astatistical data analytics and visualization tool and introduces the learnersto several data mining algorithms and chart forms / visualizations. It has goodemphasis on ‘asking the right questions’. • Exhaustivecoverage includes installation of R and its package, getting accustomed to Rinterface and R commands, working with data from disparate data sources (.csv,JSON, XML, RDBMS etc.), getting conversant with classification, clustering,association rule mining, regression, text mining etc. • 12 Casestudies namely Insurance Fraud Detection, Customer Insights Analysis, SalesForecasting, Credit Card Spending by Customer Groups and Helping RetailersPredict In-store Customer Traffic • Pedagogy o 300+chapter-end and check your progress questions for self-assessment o 200Multiple-choice questions o 10+hands-on practical exercises o Exhaustiveillustrations
650			_aData analytics _9861
650			_aR Programming _91195
942			_2ddc _cBK